Top Hybrid Software Engineer Jobs in Boston, MA

Designs, develops, tests, and delivers database and platform software for Imprivata’s enterprise access management appliances across on-premises and cloud environments. Responsibilities include distributed database architecture, replication, networking, multithreaded development, automated testing, security vulnerability remediation, platform configuration, and customer issue resolution. The role requires Linux development, database engineering, software design, and full software development lifecycle experience.

Leads complex enterprise AI deployments and go-live engagements, owns deployment playbooks and shared tooling, mentors engineers, captures reusable deployment knowledge, establishes quality standards, and partners with product and engineering teams. The role requires hands-on software engineering, customer-facing delivery, AI and GenAI integration, prompt engineering, and executive-level communication.

Develop and maintain native iOS applications using Swift and SwiftUI for DraftKings’ financial platform. Collaborate with product, design, analytics, and engineering teams to deliver scalable features. Integrate APIs, manage data, optimize performance, monitor reliability and crash analytics, participate in code reviews and testing, troubleshoot issues, and apply modern mobile development practices.

Develop and integrate platform software for audio technology products using Linux, RTOS, C/C++, Python, DSP, and middleware. Support product delivery, coordinate cross-functional teams, resolve integration issues, and build scalable software components. Collaborate with systems, QA, and security teams while maintaining integration documentation, matrices, and progress reports. The role also requires audio technology experience involving DSP pipelines, latency-sensitive systems, or room correction algorithms.

Lead hands-on development of scalable full-stack web applications and core platform services for a clinical data and analytics platform. Influence architecture, engineering standards, security, reliability, and maintainability; mentor engineers; resolve distributed-system production issues; and collaborate across product and QA. Integrate LLMs, AI-assisted workflows, and agentic patterns into secure .NET and Python enterprise systems while supporting documentation, compliance, and the full software development lifecycle.

Develop and improve home energy simulation software, implement and maintain building energy codes and standards, collaborate with energy model developers, support internal teams and customers with energy modeling questions, and use AI-assisted development tools. The role combines software engineering with heat transfer, thermodynamics, and building science expertise.

Build and deploy clean, tested, efficient full-stack software for dealer inventory products. Develop across the technical stack, support and improve core systems, integrate AI coding tools, and collaborate with data scientists and product managers from technical design through testing and performance measurement. The role requires React, JavaScript, Java, SQL, distributed systems, microservices, and strong data structures and algorithms knowledge.

Develop and implement software solutions using Java, Python, and JavaScript; design scalable applications and microservices; conduct code reviews; apply CI/CD and ATDD practices; analyze business requirements; manage testing and troubleshooting; and support digital integration and architecture initiatives. The role also involves client collaboration, relationship building, mentoring junior team members, and applying AI-human collaboration to improve software capabilities and user experiences.

Build and operate backend-focused production software, APIs, integrations, databases, distributed systems, and asynchronous workflows. Develop AI-enabled and agentic systems with retrieval, tool use, evaluation, permissions, observability, and reliability controls. Own products from definition through iteration, collaborate with data engineering, data science, and SRE, make pragmatic technical tradeoffs, and mentor engineers.

Develop large-scale distributed systems and high-performance, low-latency software for ad traffic optimization. Apply mathematical algorithms and large-scale data analysis to maximize throughput, improve traffic prioritization, and reduce infrastructure costs. Own the full software development lifecycle, participate in production support and on-call rotations, and collaborate on technical tradeoffs. The role uses Rust, Scala, Spark, Kafka, Kubernetes, and cloud deployment tooling in a hybrid Boston or New York City environment.